Job Description

Position Summary:

The College of Business at the University of Central Oklahoma (UCO), an AACSB-accredited institution, invites applications for a full-time, tenure-track Assistant Professor of Marketing with expertise in Data Analytics and Artificial Intelligence (AI) to begin in August 2026. We are particularly interested in candidates whose background (teaching, research, or professional) demonstrates the integration of data-driven decision-making and emerging technologies like AI applications in Marketing.

The ideal candidate will demonstrate a strong commitment to teaching excellence, maintain an active research agenda consistent with AACSB scholarly academic (SA) qualifications, and contribute to the service mission of the department, college, and university. Experience in applying analytics and AI tools to solve marketing challenges is strongly valued.


Department Overview:

The Department of Marketing fosters transformative, applied learning experiences across undergraduate and graduate programs. The department offers majors and minors in Marketing, Professional Selling, and related areas, while supporting UCO’s MBA and MSBA programs. Faculty collaborate with industry partners to provide students with exposure to real-world analytics projects, AI-driven tools, and experiential learning opportunities. The department also supports student organizations, competitions, and professional development programs that prepare graduates to lead in a data-driven business world.


Essential Responsibilities:

Teach undergraduate and/or graduate courses in Marketing Analytics, AI in Marketing, and related courses, using face-to-face, hybrid, and asynchronous online formats.
Maintain an active research agenda that advances knowledge in data analytics, AI in marketing, meeting AACSB SA standards.
Contribute to curriculum development by integrating emerging technologies, analytics software, and AI applications into marketing education.
Mentor students in academic and professional development, including data-driven projects, case competitions, and applied research opportunities.
Engage in service activities at the department, college, university, and professional levels.
Collaborate with faculty across disciplines (e.g., MIS, Business Analytics in the ISOM Department) to develop integrated learning experiences.
Lead experiential learning initiatives such as live client projects, AI-driven simulations, or case competitions.
The standard teaching load is four courses per semester, with opportunities for course load reductions through competitive research reassignment.


Required Qualifications:

A Ph.D. in Marketing, Business Analytics, or a closely related field, from an AACSB-accredited institution.
ABD candidates with a scheduled dissertation defense date prior to the employment start date will be considered.
Demonstrated ability to meet AACSB Scholarly Academic (SA) qualifications and evidence of teaching effectiveness.

Preferred Qualifications:

Teaching, research, or industry experience in Marketing Analytics, AI in marketing, or related emerging technologies.
Familiarity with analytics platforms (e.g., Python, R, SQL, Tableau, Power BI, or AI-enabled marketing tools).
Active engagement with industry partnerships, professional organizations, or applied research collaborations.